
Chief AI Architect
1 week ago
We are seeking an exceptional Senior Agentic AI professional to spearhead the development of cutting-edge agentic AI solutions.
- This role involves taking ownership of the full lifecycle of our AI platform, from design and implementation to deployment and optimization.
- Design and develop agentic AI applications using Python and relevant frameworks.
- Architect robust and scalable backend systems.
- Integrate LLMs through APIs and interfaces.
- Utilize vector databases for information retrieval and knowledge management within AI agents.
- Develop sophisticated agentic workflows using frameworks like Autogen, AG2, Lang graph, Agno, or CrewAI.
- Collaborate with cross-functional teams, including product managers, researchers, and engineers.
- Write clean, well-documented code following best practices.
- Stay up-to-date with the latest advancements in AI, LLMs, and agentic technologies.
- Contribute to the technical direction and architecture of our AI platform.
- Deploy solutions on cloud platforms.
- Participate in code reviews and knowledge sharing.
- 7+ years of experience in software development with a strong track record of delivering production-grade systems.
- Proven expertise in Python.
- Hands-on experience with Langchain.
- Demonstrated experience with agentic frameworks such as Autogen, AG2, Langgraph, Agno, or CrewAI.
- Experience working with Vector Databases.
- Deep understanding of Large Language Models and their application in intelligent systems.
- Proficient in Git for version control.
- Comfortable working in Linux environments.
- Experience deploying applications on cloud platforms.
- Proven experience designing, implementing, and maintaining CI/CD pipelines.
- Solid understanding of SQL and NoSQL databases.
- Strong leadership and problem-solving skills.
- Excellent communication and interpersonal skills.
- BigQuery experience.
- Proficiency in additional programming languages.
- Experience developing multi-agent systems.
- Serverless architecture and containerization expertise.
- Local LLM execution and management experience.
- Prompt engineering and fine-tuning LLMs expertise.
- Open-source AI contributions.
- Security best practices in AI understanding.
- MLOps principles familiarity.
- Relevant testing frameworks expertise.
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